Udemy – Python for Corporate Finance and Investment Analysis 2024-1

Description

Python for Corporate Finance and Investment Analysis Course. The future belongs to those who learn more skills and combine them in creative ways. Learning Python is a valuable skill for financial analysts and professionals. This course will help you combine Python programming skills with financial analysis and investment strategies.

What you will learn in this course:

• Learn to manage and analyze financial data using Python: You will learn to manipulate and analyze financial data using Python.
• Developing Asset Pricing Theories: You will learn about asset pricing theories that are based on real-world financial and economic relationships, and then rigorously test them.
• Understand the basics of Python programming: You will understand the basics of Python programming including data types, control structures, functions, and libraries essential for financial analysis.
• Building Financial Models and Forecasting Using Python: You will gain the ability to build financial models and forecasting using Python, including cash flow analysis, budgeting, and financial statement analysis.
• Applying the Black-Scholes model, calculating bond yields for option pricing: You will learn about applying the Black-Scholes model and calculating bond yields for option pricing.
• Programming with Python: You will learn to write effective Python code to solve complex business problems.

This course is suitable for people who:

• Financial Professionals: This course is suitable for individuals working in corporate finance, investment banking, portfolio management, risk management, and financial planning who want to strengthen their analytical skills and incorporate automation and data-driven decision-making into their workflow.
• Business Analysts and Consultants: This course is suitable for business analysts and consultants looking to deepen their analytical capabilities and provide more sophisticated insights into financial performance, market trends, and investment opportunities.
• Students and academics in finance and economics: University students and researchers in finance, economics, business administration, and related fields who want to complement their theoretical knowledge with practical experience in using Python for data analysis and financial modeling.
• Investment enthusiasts and individual shareholders: This course is suitable for people who manage their own investments or are interested in stock market trading and want to learn how to use Python for investment analysis, portfolio optimization, and developing algorithmic trading strategies.
• Career Changers and Lifelong Learners: This course is suitable for people with a non-financial background who want to move into finance or investment roles, or those interested in personal development and acquiring new, marketable skills at the intersection of finance and technology.
• Technology professionals seeking financial knowledge: This course is suitable for IT and technology professionals, including software developers, who are looking to diversify their skills by gaining knowledge in financial analysis and investment strategies.
• Designed to be accessible to programming beginners, yet challenging enough for those with little Python experience, this course offers a unique blend of financial theory and practical application, making it suitable for anyone looking to advance their skills in finance and technology.

Python for Corporate Finance and Investment Analysis Course Specifications

• Publisher:  Udemy
• Instructor:  John Cousins
• Training level: Beginner to advanced
• Training duration: 7 hours and 21 minutes

Course syllabus in 2024/9

Python for Corporate Finance and Investment Analysis Course Prerequisites

• This course does not go through basic programming and Python. It does go through basic finance and then we crush some basic code.
• There are no financial prerequisites for taking this course as it will go over understanding financial concepts and Python coding concepts.
• Prior Programming Experience Required: While prior experience with programming is beneficial, it is not a prerequisite, but you should be familiar with programming concepts and Python syntax.
• Willingness to learn and experiment: An open mindset and willingness to engage with both the programming and financial aspects of the course, including a readiness to solve problems and work on projects.
• Our slogan is, if you’re reasonably good at math, have a basic understanding of programming, you love it, and you have time to devote to it, then this course is completely fine for you.” “It’s fun,” she says. “It’s just like any other course. You know, we watch the lecture, and then do the quiz, and then we do the problem set.”

Course images

Sample course video

Download link

Download Part 1 – 2 GB

Download Part 2 – 2 GB

Download Part 3 – 2 GB

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Download Part 5 – 2 GB

Download Part 6 – 738 MB

File(s) password: www.downloadly.ir

File size

10.7 GB